Text Classification
PEFT
Safetensors
English
agents
llm-agents
tool-use
function-calling
decision-making
decision-model
lora
qwen3_5
startlux-decision
Instructions to use JevAgentHarness/AgentDecision-0.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JevAgentHarness/AgentDecision-0.8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("startlux-models/StartLux-Decision-v1-0.8B") model = PeftModel.from_pretrained(base_model, "JevAgentHarness/AgentDecision-0.8B") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from JevAgentHarness/AgentDecision-0.8B: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/JevAgentHarness/AgentDecision-0.8B/resolve/main/tokenizer.json
- Command line
-
hf download hf://JevAgentHarness/AgentDecision-0.8B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/JevAgentHarness/AgentDecision-0.8B/resolve/main/tokenizer.json
20 MB
- Xet hash:
- e558cdad9a88d177076f9525ed4ef2d55dfd5dafafd6baac7c6105590ab49b7b
- Size of remote file:
- 20 MB
- SHA256:
- a5cd9732badce41de57e6efce8302930ded1c1188c5f81feb2bd6c24c4a1941f
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